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-time RF machine learning, automotive cybersecurity, and radar threat warning models. Validation of SDD products is accomplished in VTNSI’s state-of-the-art 5,000 sq. ft. of wireless testing and lab
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capabilities for real-time RF machine learning, automotive cybersecurity, and radar threat warning models. Validation of SDD products is accomplished in VTNSI’s state-of-the-art 5,000 sq. ft. of wireless testing
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configuring GPU-enabled systems for deep learning tasks. o Network Administration: Strong understanding of networking concepts, including TCP/IP, routing protocols, VLANs, and Layer 2 switching. Experience with
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with GPU-based code development (e.g., CUDA). - Familiarity with AI/ML development concepts such as RL, RAG, MCP, Agentic AI, multi-modal learning, etc. - Familiarity with AI/ML development tools such as
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development in support of MSD research programs • Learn about the underlying technical concepts of assigned programs • Participation in weekly program meetings and periodic sponsor meetings (requiring oral and